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J Ramanujam

Showing results (11-20 of 19) with videos related to

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NPJ Systems Biology and Applications|April 29, 2022
An integrated network representation of multiple cancer-specific data for graph-based machine learningLimeng Pu, Manali Singha, Hsiao-Chun Wu, et al.
Journal of Cheminformatics|August 12, 2021
GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous dataGuannan Liu, Manali Singha, Limeng Pu, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 16, 2013
Solving the parquet equations for the Hubbard model beyond weak couplingKa-Ming Tam, H Fotso, S-X Yang, et al.
Plos One|July 16, 2016
GeauxDock: Accelerating Structure-Based Virtual Screening with Heterogeneous ComputingYe Fang, Yun Ding, Wei P Feinstein, et al.
Bioinformatics (Oxford, England)|February 14, 2020
BionoiNet: ligand-binding site classification with off-the-shelf deep neural networkWentao Shi, Jeffrey M Lemoine, Abd-El-Monsif A Shawky, et al.
BMC Cancer|November 26, 2022
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitorsManali Singha, Limeng Pu, Brent A Stanfield, et al.
The Journal of Physical Chemistry. A|November 6, 2009
Performance optimization of tensor contraction expressions for many-body methods in quantum chemistryAlbert Hartono, Qingda Lu, Thomas Henretty, et al.
Cancers|August 26, 2023
Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in CancerManali Singha, Limeng Pu, Gopal Srivastava, et al.
Anticancer Research|June 17, 2009
14-3-3sigma-dependent resistance to cisplatinZhiyong Han, Konstantinos Dimas, Xuefei Tian, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
NPJ Systems Biology and Applications|April 29, 2022
An integrated network representation of multiple cancer-specific data for graph-based machine learningLimeng Pu, Manali Singha, Hsiao-Chun Wu, et al.
Journal of Cheminformatics|August 12, 2021
GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous dataGuannan Liu, Manali Singha, Limeng Pu, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 16, 2013
Solving the parquet equations for the Hubbard model beyond weak couplingKa-Ming Tam, H Fotso, S-X Yang, et al.
Plos One|July 16, 2016
GeauxDock: Accelerating Structure-Based Virtual Screening with Heterogeneous ComputingYe Fang, Yun Ding, Wei P Feinstein, et al.
Bioinformatics (Oxford, England)|February 14, 2020
BionoiNet: ligand-binding site classification with off-the-shelf deep neural networkWentao Shi, Jeffrey M Lemoine, Abd-El-Monsif A Shawky, et al.
BMC Cancer|November 26, 2022
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitorsManali Singha, Limeng Pu, Brent A Stanfield, et al.
The Journal of Physical Chemistry. A|November 6, 2009
Performance optimization of tensor contraction expressions for many-body methods in quantum chemistryAlbert Hartono, Qingda Lu, Thomas Henretty, et al.
Cancers|August 26, 2023
Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in CancerManali Singha, Limeng Pu, Gopal Srivastava, et al.
Anticancer Research|June 17, 2009
14-3-3sigma-dependent resistance to cisplatinZhiyong Han, Konstantinos Dimas, Xuefei Tian, et al.
Pageof 2